Data Analyst
hace 2 días
Design and develop dynamic dashboards, reports, and visualizations using BI tools (Power BI, Tableau, etc.).
- Provide timely and actionable reports on key performance indicators (KPIs) and business metrics.
- Proactively identify opportunities for automation and improvement in reporting and analysis processes.
Collaboration & Stakeholder Engagement:
- Work closely with business stakeholders, product teams, and senior management to understand business needs and translate them into data-driven insights.
- Lead and mentor junior analysts, providing guidance on analytical techniques, tools, and methodologies.
- Present findings to non-technical stakeholders, explaining complex data in an accessible manner.
Advanced Analytics & Predictive Modeling:
- Build and implement predictive models to forecast trends, customer behavior, and business outcomes.
- Contribute to the development of data-driven business strategies by providing advanced analytical insights.
Technical Skills:
- Advanced proficiency in data analysis tools such as SQL, Python, R, and/or SAS.
- Strong experience with data visualization tools (e.g., Power BI, Tableau, Looker).
- Expertise in data manipulation, transformation, and integration using tools such as Excel, SQL, and ETL platforms.
- Experience in statistical modeling, machine learning, and predictive analytics.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus.
ADVANCED ENGLISH
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